{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Autoencoder network with MedNIST Dataset\n",
    "\n",
    "This notebook illustrates the use of an autoencoder in MONAI for the purpose of image deblurring/denoising.\n",
    "\n",
    "# Learning objectives\n",
    "This will go through the steps of:\n",
    "* Loading the data from a remote source\n",
    "* Using a lambda to create a dictionary of images\n",
    "* Using MONAI's in-built AutoEncoder\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/master/modules/autoencoder_mednist.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[pillow, tqdm]\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Imports and configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 0.6.0rc1+23.gc6793fd0\n",
      "Numpy version: 1.20.3\n",
      "Pytorch version: 1.9.0a0+c3d40fd\n",
      "MONAI flags: HAS_EXT = True, USE_COMPILED = False\n",
      "MONAI rev id: c6793fd0f316a448778d0047664aaf8c1895fe1c\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.5\n",
      "Nibabel version: 3.2.1\n",
      "scikit-image version: 0.15.0\n",
      "Pillow version: 8.2.0\n",
      "Tensorboard version: 2.5.0\n",
      "gdown version: 3.13.0\n",
      "TorchVision version: 0.10.0a0\n",
      "ITK version: 5.1.2\n",
      "tqdm version: 4.53.0\n",
      "lmdb version: 1.2.1\n",
      "psutil version: 5.8.0\n",
      "pandas version: 1.1.4\n",
      "einops version: 0.3.0\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import logging\n",
    "import os\n",
    "import shutil\n",
    "import sys\n",
    "import tempfile\n",
    "import random\n",
    "import numpy as np\n",
    "from tqdm import trange\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "from skimage.util import random_noise\n",
    "\n",
    "from monai.apps import download_and_extract\n",
    "from monai.config import print_config\n",
    "from monai.data import CacheDataset, DataLoader\n",
    "from monai.networks.nets import AutoEncoder\n",
    "from monai.transforms import (\n",
    "    AddChannelD,\n",
    "    Compose,\n",
    "    LoadImageD,\n",
    "    RandFlipD,\n",
    "    RandRotateD,\n",
    "    RandZoomD,\n",
    "    ScaleIntensityD,\n",
    "    EnsureTypeD,\n",
    "    Lambda,\n",
    ")\n",
    "from monai.utils import set_determinism\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
    "set_determinism(0)\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create small visualistaion function\n",
    "def plot_ims(ims, shape=None, figsize=(10, 10), titles=None):\n",
    "    shape = (1, len(ims)) if shape is None else shape\n",
    "    plt.subplots(*shape, figsize=figsize)\n",
    "    for i, im in enumerate(ims):\n",
    "        plt.subplot(*shape, i + 1)\n",
    "        im = plt.imread(im) if isinstance(im, str) else torch.squeeze(im)\n",
    "        plt.imshow(im, cmap='gray')\n",
    "        if titles is not None:\n",
    "            plt.title(titles[i])\n",
    "        plt.axis('off')\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Get the data\n",
    "\n",
    "The MedNIST dataset was gathered from several sets from [TCIA](https://wiki.cancerimagingarchive.net/display/Public/Data+Usage+Policies+and+Restrictions),\n",
    "[the RSNA Bone Age Challenge](http://rsnachallenges.cloudapp.net/competitions/4),\n",
    "and [the NIH Chest X-ray dataset](https://cloud.google.com/healthcare/docs/resources/public-datasets/nih-chest).\n",
    "\n",
    "The dataset is kindly made available by [Dr. Bradley J. Erickson M.D., Ph.D.](https://www.mayo.edu/research/labs/radiology-informatics/overview) (Department of Radiology, Mayo Clinic)\n",
    "under the Creative Commons [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/workspace/data/medical\n"
     ]
    }
   ],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(root_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "resource = \"https://drive.google.com/uc?id=1QsnnkvZyJPcbRoV_ArW8SnE1OTuoVbKE\"\n",
    "md5 = \"0bc7306e7427e00ad1c5526a6677552d\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"MedNIST.tar.gz\")\n",
    "data_dir = os.path.join(root_dir, \"MedNIST\")\n",
    "if not os.path.exists(data_dir):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scan_type could be  AbdomenCT  BreastMRI  CXR  ChestCT  Hand  HeadCT\n",
    "scan_type = \"Hand\"\n",
    "im_dir = os.path.join(data_dir, scan_type)\n",
    "all_filenames = [os.path.join(im_dir, filename)\n",
    "                 for filename in os.listdir(im_dir)]\n",
    "random.shuffle(all_filenames)\n",
    "\n",
    "# Visualise a few of them\n",
    "rand_images = np.random.choice(all_filenames, 8, replace=False)\n",
    "plot_ims(rand_images, shape=(2, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total number of images: 10000\n",
      "number of images for training: 8000\n",
      "number of images for testing: 2000\n"
     ]
    }
   ],
   "source": [
    "# Split into training and testing\n",
    "test_frac = 0.2\n",
    "num_test = int(len(all_filenames) * test_frac)\n",
    "num_train = len(all_filenames) - num_test\n",
    "train_datadict = [{\"im\": fname} for fname in all_filenames[:num_train]]\n",
    "test_datadict = [{\"im\": fname} for fname in all_filenames[-num_test:]]\n",
    "print(f\"total number of images: {len(all_filenames)}\")\n",
    "print(f\"number of images for training: {len(train_datadict)}\")\n",
    "print(f\"number of images for testing: {len(test_datadict)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Create the image transform chain\n",
    "\n",
    "To train the autoencoder to de-blur/de-noise our images, we'll want to pass the degraded image into the encoder, but in the loss function, we'll do the comparison with the original, undegraded version. In this sense, the loss function will be minimised when the encode and decode steps manage to remove the degradation.\n",
    "\n",
    "Other than the fact that one version of the image is degraded and the other is not, we want them to be identical, meaning they need to be generated from the same transforms. The easiest way to do this is via dictionary transforms, where at the end, we have a lambda function that will return a dictionary containing the three images – the original, the Gaussian blurred and the noisy (salt and pepper)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "NoiseLambda = Lambda(lambda d: {\n",
    "    \"orig\": d[\"im\"],\n",
    "    \"gaus\": torch.tensor(\n",
    "        random_noise(d[\"im\"], mode='gaussian'), dtype=torch.float32),\n",
    "    \"s&p\": torch.tensor(random_noise(d[\"im\"], mode='s&p', salt_vs_pepper=0.1)),\n",
    "})\n",
    "\n",
    "train_transforms = Compose(\n",
    "    [\n",
    "        LoadImageD(keys=[\"im\"]),\n",
    "        AddChannelD(keys=[\"im\"]),\n",
    "        ScaleIntensityD(keys=[\"im\"]),\n",
    "        RandRotateD(keys=[\"im\"], range_x=np.pi / 12, prob=0.5, keep_size=True),\n",
    "        RandFlipD(keys=[\"im\"], spatial_axis=0, prob=0.5),\n",
    "        RandZoomD(keys=[\"im\"], min_zoom=0.9, max_zoom=1.1, prob=0.5),\n",
    "        EnsureTypeD(keys=[\"im\"]),\n",
    "        NoiseLambda,\n",
    "    ]\n",
    ")\n",
    "\n",
    "test_transforms = Compose(\n",
    "    [\n",
    "        LoadImageD(keys=[\"im\"]),\n",
    "        AddChannelD(keys=[\"im\"]),\n",
    "        ScaleIntensityD(keys=[\"im\"]),\n",
    "        EnsureTypeD(keys=[\"im\"]),\n",
    "        NoiseLambda,\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create dataset and dataloader\n",
    "\n",
    "Hold data and present batches during training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 8000/8000 [00:02<00:00, 2698.01it/s]\n",
      "100%|██████████| 2000/2000 [00:02<00:00, 904.36it/s]\n"
     ]
    }
   ],
   "source": [
    "batch_size = 300\n",
    "num_workers = 10\n",
    "\n",
    "train_ds = CacheDataset(train_datadict, train_transforms,\n",
    "                        num_workers=num_workers)\n",
    "train_loader = DataLoader(train_ds, batch_size=batch_size,\n",
    "                          shuffle=True, num_workers=num_workers)\n",
    "test_ds = CacheDataset(test_datadict, test_transforms, num_workers=num_workers)\n",
    "test_loader = DataLoader(test_ds, batch_size=batch_size,\n",
    "                         shuffle=True, num_workers=num_workers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get image original and its degraded versions\n",
    "def get_single_im(ds):\n",
    "    loader = torch.utils.data.DataLoader(\n",
    "        ds, batch_size=1, num_workers=10, shuffle=True)\n",
    "    itera = iter(loader)\n",
    "    return next(itera)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = get_single_im(train_ds)\n",
    "plot_ims([data['orig'], data['gaus'], data['s&p']],\n",
    "         titles=['orig', 'Gaussian', 's&p'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def train(dict_key_for_training, max_epochs=10, learning_rate=1e-3):\n",
    "\n",
    "    model = AutoEncoder(\n",
    "        spatial_dims=2,\n",
    "        in_channels=1,\n",
    "        out_channels=1,\n",
    "        channels=(4, 8, 16, 32),\n",
    "        strides=(2, 2, 2, 2),\n",
    "    ).to(device)\n",
    "\n",
    "    # Create loss fn and optimiser\n",
    "    loss_function = torch.nn.MSELoss()\n",
    "    optimizer = torch.optim.Adam(model.parameters(), learning_rate)\n",
    "\n",
    "    epoch_loss_values = []\n",
    "\n",
    "    t = trange(\n",
    "        max_epochs,\n",
    "        desc=f\"{dict_key_for_training} -- epoch 0, avg loss: inf\", leave=True)\n",
    "    for epoch in t:\n",
    "        model.train()\n",
    "        epoch_loss = 0\n",
    "        step = 0\n",
    "        for batch_data in train_loader:\n",
    "            step += 1\n",
    "            inputs = batch_data[dict_key_for_training].to(device)\n",
    "            optimizer.zero_grad()\n",
    "            outputs = model(inputs)\n",
    "            loss = loss_function(outputs, batch_data['orig'].to(device))\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            epoch_loss += loss.item()\n",
    "        epoch_loss /= step\n",
    "        epoch_loss_values.append(epoch_loss)\n",
    "        t.set_description(\n",
    "            f\"{dict_key_for_training} -- epoch {epoch + 1}\"\n",
    "            + f\", average loss: {epoch_loss:.4f}\")\n",
    "    return model, epoch_loss_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "orig -- epoch 30, average loss: 0.0110:  60%|██████    | 30/50 [01:41<01:08,  3.40s/it]"
     ]
    }
   ],
   "source": [
    "max_epochs = 50\n",
    "training_types = ['orig', 'gaus', 's&p']\n",
    "models = []\n",
    "epoch_losses = []\n",
    "for training_type in training_types:\n",
    "    model, epoch_loss = train(training_type, max_epochs=max_epochs)\n",
    "    models.append(model)\n",
    "    epoch_losses.append(epoch_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure()\n",
    "plt.title(\"Epoch Average Loss\")\n",
    "plt.xlabel(\"epoch\")\n",
    "for y, label in zip(epoch_losses, training_types):\n",
    "    x = list(range(1, len(y) + 1))\n",
    "    line, = plt.plot(x, y)\n",
    "    line.set_label(label)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = get_single_im(test_ds)\n",
    "\n",
    "recons = []\n",
    "for model, training_type in zip(models, training_types):\n",
    "    im = data[training_type]\n",
    "    recon = model(im.to(device)).detach().cpu()\n",
    "    recons.append(recon)\n",
    "\n",
    "plot_ims(\n",
    "    [data['orig'], data['gaus'], data['s&p']] + recons,\n",
    "    titles=['orig', 'Gaussian', 'S&P'] +\n",
    "    [\"recon w/\\n\" + x for x in training_types],\n",
    "    shape=(2, len(training_types)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
